Wu, Yiran

8 publications

TMLR 2026 A Survey of Self-Evolving Agents: What, When, How, and Where to Evolve on the Path to Artificial Super Intelligence Huan-ang Gao, Jiayi Geng, Wenyue Hua, Mengkang Hu, Xinzhe Juan, Hongzhang Liu, Shilong Liu, Jiahao Qiu, Xuan Qi, Qihan Ren, Yiran Wu, Hongru Wang, Han Xiao, Yuhang Zhou, Shaokun Zhang, Jiayi Zhang, Jinyu Xiang, Yixiong Fang, Qiwen Zhao, Dongrui Liu, Cheng Qian, Zhenhailong Wang, Minda Hu, Huazheng Wang, Qingyun Wu, Heng Ji, Mengdi Wang

NeurIPS 2025 Absolute Zero: Reinforced Self-Play Reasoning with Zero Data Andrew Zhao, Yiran Wu, Yang Yue, Tong Wu, Quentin Xu, Yang Yue, Matthieu Lin, Shenzhi Wang, Qingyun Wu, Zilong Zheng, Gao Huang

NeurIPSW 2024 AutoDefense: Multi-Agent LLM Defense Against Jailbreak Attacks Yifan Zeng, Yiran Wu, Xiao Zhang, Huazheng Wang, Qingyun Wu

ICLRW 2024 AutoGen: Enabling Next-Gen LLM Applications via Multi-Agent Conversation Qingyun Wu, Gagan Bansal, Jieyu Zhang, Yiran Wu, Beibin Li, Erkang Zhu, Li Jiang, Xiaoyun Zhang, Shaokun Zhang, Jiale Liu, Ahmed Hassan Awadallah, Ryen W White, Doug Burger, Chi Wang

ICLRW 2024 MathChat: Converse to Tackle Challenging Math Problems with LLM Agents Yiran Wu, Feiran Jia, Shaokun Zhang, Hangyu Li, Erkang Zhu, Yue Wang, Yin Tat Lee, Richard Peng, Qingyun Wu, Chi Wang

NeurIPSW 2024 StateFlow: Enhancing LLM Task-Solving Through State-Driven Workflows Yiran Wu, Tianwei Yue, Shaokun Zhang, Chi Wang, Qingyun Wu

NeurIPS 2023 Unified Off-Policy Learning to Rank: A Reinforcement Learning Perspective Zeyu Zhang, Yi Su, Hui Yuan, Yiran Wu, Rishab Balasubramanian, Qingyun Wu, Huazheng Wang, Mengdi Wang

ICML 2022 Improving Policy Optimization with Generalist-Specialist Learning Zhiwei Jia, Xuanlin Li, Zhan Ling, Shuang Liu, Yiran Wu, Hao Su